Department of Orthopedic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Laboratory of Intelligent Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Curr Med Sci. 2021 Dec;41(6):1123-1133. doi: 10.1007/s11596-021-2485-0. Epub 2021 Dec 24.
Chronic diseases are a growing concern worldwide, with nearly 25% of adults suffering from one or more chronic health conditions, thus placing a heavy burden on individuals, families, and healthcare systems. With the advent of the "Smart Healthcare" era, a series of cutting-edge technologies has brought new experiences to the management of chronic diseases. Among them, smart wearable technology not only helps people pursue a healthier lifestyle but also provides a continuous flow of healthcare data for disease diagnosis and treatment by actively recording physiological parameters and tracking the metabolic state. However, how to organize and analyze the data to achieve the ultimate goal of improving chronic disease management, in terms of quality of life, patient outcomes, and privacy protection, is an urgent issue that needs to be addressed. Artificial intelligence (AI) can provide intelligent suggestions by analyzing a patient's physiological data from wearable devices for the diagnosis and treatment of diseases. In addition, blockchain can improve healthcare services by authorizing decentralized data sharing, protecting the privacy of users, providing data empowerment, and ensuring the reliability of data management. Integrating AI, blockchain, and wearable technology could optimize the existing chronic disease management models, with a shift from a hospital-centered model to a patient-centered one. In this paper, we conceptually demonstrate a patient-centric technical framework based on AI, blockchain, and wearable technology and further explore the application of these integrated technologies in chronic disease management. Finally, the shortcomings of this new paradigm and future research directions are also discussed.
慢性病是全球日益关注的问题,近 25%的成年人患有一种或多种慢性健康状况,因此给个人、家庭和医疗保健系统带来了沉重的负担。随着“智慧医疗”时代的到来,一系列前沿技术为慢性病管理带来了新的体验。其中,智能可穿戴技术不仅帮助人们追求更健康的生活方式,还通过主动记录生理参数和跟踪代谢状态,为疾病诊断和治疗提供持续的医疗保健数据。然而,如何组织和分析这些数据,以提高慢性病管理的最终目标,包括生活质量、患者结果和隐私保护,是一个亟待解决的问题。人工智能 (AI) 可以通过分析可穿戴设备中的患者生理数据,为疾病的诊断和治疗提供智能建议。此外,区块链可以通过授权去中心化的数据共享、保护用户隐私、提供数据授权、确保数据管理的可靠性,来改善医疗服务。整合 AI、区块链和可穿戴技术可以优化现有的慢性病管理模式,从以医院为中心的模式转变为以患者为中心的模式。本文从概念上展示了一个基于 AI、区块链和可穿戴技术的以患者为中心的技术框架,并进一步探讨了这些集成技术在慢性病管理中的应用。最后,还讨论了这一新范式的缺点和未来的研究方向。